<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Evaluation on Vadzim Belski — AI Research &amp; Engineering</title><link>https://belski.me/tags/evaluation/</link><description>Recent content in Evaluation on Vadzim Belski — AI Research &amp; Engineering</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 05 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://belski.me/tags/evaluation/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Model Leaderboards: The Complete Guide to Benchmarks and Evaluation in 2026</title><link>https://belski.me/blog/ai_model_leaderboards_complete_guide_to_benchmarks_and_evaluation/</link><pubDate>Sun, 05 Apr 2026 00:00:00 +0000</pubDate><guid>https://belski.me/blog/ai_model_leaderboards_complete_guide_to_benchmarks_and_evaluation/</guid><description>&lt;h2 id="why-ai-benchmarks-matter"&gt;Why AI Benchmarks Matter More Than Ever&lt;/h2&gt;
&lt;p&gt;If you&amp;rsquo;ve been following the AI space for the past couple of years, you&amp;rsquo;ve probably noticed something: every new model launch comes with a wall of benchmark scores. Claude scores this on MMLU, GPT-5 hits that on SWE-bench, Gemini crushes some other metric. But what do all these numbers actually mean? And more importantly &amp;mdash; should you trust them?&lt;/p&gt;
&lt;p&gt;The truth is, the AI evaluation ecosystem has become massive. We&amp;rsquo;re talking about 80+ leaderboards, benchmark datasets, and evaluation frameworks spread across eight major domains. From language models to speech recognition, from medical AI to robotics &amp;mdash; there&amp;rsquo;s a benchmark for almost everything now. And understanding this landscape isn&amp;rsquo;t just academic curiosity. If you&amp;rsquo;re choosing models for production, evaluating vendors, or building AI products, knowing which benchmarks actually matter can save you from expensive mistakes.&lt;/p&gt;</description></item></channel></rss>